We recently launched the State of the Database Landscape 2024 survey results, with information from almost 4,000 database professionals from around the globe. A clear picture emerged from the results, suggesting that 2024 is the year that skill diversification among database professionals is imperative.
2024-02-28
2024-02-26
5,644 reads
Generative AI holds immense potential for businesses, but its success depends on the quality of your data. High-quality, strategically managed data is essential for building trustworthy, unique, and competitive AI applications. This article explores how AI leverages your data through embeddings, outlines best practices for data management, and emphasizes the importance of responsible AI development. By prioritizing data quality and effective management, you'll position your business to reap the full benefits of Generative AI and drive innovation.
2024-02-21
2,975 reads
Introduction In this article, we will see how to work with GitHub Copilot. GitHub copilot is an interesting plug-in that generates code using AI. The technology is from Microsoft and OpenAI. We will show how to install Copilot, and how to generate SQL Server code (T-SQL) using Copilot. First, we will answer some FAQs about Copilot […]
2024-02-12
13,389 reads
Learn how to get started with a few sample prompt templates by using the gpt-4 LLM within OpenAI and LangChain in a Databricks notebook.
2024-02-09
Microsoft is using AI to try and protect against ransomware, which is probably a good use of the technology.
2024-02-07
165 reads
In this script we will leverage the capabilities of Amazon Bedrock's Generative AI service to author SQL statements.
2024-02-03
627 reads
This article covers the basics of how different AI tools can be used to write SQL.
2024-02-09 (first published: 2024-01-19)
8,604 reads
Generative AI is everywhere, but especially in software development. Is it helping us? Steve has a few thoughts.
2024-01-06
112 reads
2023-12-29
444 reads
By HeyMo0sh
Microsoft Fabric (not to be confused with the more general term “fabric” in DevOps)...
By James Serra
I’m honored to be hosting T-SQL Tuesday — edition #192. For those who may...
By Vinay Thakur
Continuing from Day 2 , we learned introduction on Generative AI and Agentic AI,...
hi everyone I am not sure how to write the query that will produce...
Comments posted to this topic are about the item Rollback vs. Roll Forward
Comments posted to this topic are about the item Foreign Keys - Foes or...
I have some data in a table:
CREATE TABLE #test_data
(
id INT PRIMARY KEY,
name VARCHAR(100),
birth_date DATE
);
-- Step 2: Insert rows
INSERT INTO #test_data
VALUES
(1, 'Olivia', '2025-01-05'),
(2, 'Emma', '2025-03-02'),
(3, 'Liam', '2025-11-15'),
(4, 'Noah', '2025-12-22');
If I run this query, how many rows are returned?
SELECT *
FROM OPENJSON(
(
SELECT t.* FROM #test_data AS t FOR JSON PATH
)
) t; See possible answers